Senior Data & AI/ML Engineer – GCP Specialization Lead - Remote

About The Job

Position Name - Senior Data & AI/ML Engineer – GCP Specialization Lead

Minimum Experience - 10+ years

Expected Date of Joining - Immediate

Primary Skill

GCP Services: BigQuery, Dataflow, Pub/Sub, Vertex AI

ML Engineering: End-to-end ML pipelines using Vertex AI / Kubeflow

Programming: Python & SQL

MLOps: CI/CD for ML, Model deployment & monitoring

Infrastructure-as-Code: Terraform

Data Engineering: ETL/ELT, real-time & batch pipelines

AI/ML Tools: TensorFlow, scikit-learn, XGBoos

Secondary Skills

GCP Certifications: Professional Data Engineer or ML Engineer

Data Tools: Looker, Dataform, Data Catalog

AI Governance: Model explainability, privacy, compliance (e.g., GDPR, fairness)

GCP Partner Experience: Prior involvement in specialization journey or partner enablement

Work Location - Remote

What Makes Techjays An Inspiring Place To Work

At Techjays, we are driving the future of artificial intelligence with a bold mission to empower businesses worldwide by helping them build AI solutions that transform industries. As an established leader in the AI space, we combine deep expertise with a collaborative, agile approach to deliver impactful technology that drives meaningful change.

Our global team consists of professionals who have honed their skills at leading companies such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. With engineering teams across the globe, we deliver tailored AI software and services to clients ranging from startups to large-scale enterprises.

Be part of a company that’s pushing the boundaries of digital transformation. At Techjays, you’ll work on exciting projects that redefine industries, innovate with the latest technologies, and contribute to solutions that make a real-world impact. Join us on our journey to shape the future with AI.

We are seeking a Senior Data & AI/ML Engineer with deep expertise in GCP, who will not only build intelligent and scalable data solutions but also champion our internal capability building and partner-level excellence.

This is a high-impact role for a seasoned engineer who thrives in designing GCP-native AI/ML-enabled data platforms. You’ll play a dual role as a hands-on technical lead and a strategic enabler, helping drive our Google Cloud Data & AI/ML specialization track forward through successful implementations, reusable assets, and internal skill development.

Preferred Qualification

GCP Professional Certifications: Data Engineer or Machine Learning Engineer.

Experience contributing to a GCP Partner specialization journey.

Familiarity with Looker, Data Catalog, Dataform, or other GCP data ecosystem tools.

Knowledge of data privacy, model explainability, and AI governance is a plus.

Work Location: Remote

Key Responsibilities

Data & AI/ML Architecture

Design and implement data architectures for real-time and batch pipelines, leveraging GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Vertex AI, and Cloud Storage.

Lead the development of ML pipelines, from feature engineering to model training and deployment using Vertex AI, AI Platform, and Kubeflow Pipelines.

Collaborate with data scientists to operationalize ML models and support MLOps practices using Cloud Functions, CI/CD, and Model Registry.

Define and implement data governance, lineage, monitoring, and quality frameworks.

Google Cloud Partner Enablement

Build and document GCP-native solutions and architectures that can be used for case studies and specialization submissions.

Lead client-facing PoCs or MVPs to showcase AI/ML capabilities using GCP.

Contribute to building repeatable solution accelerators in Data & AI/ML.

Work with the leadership team to align with Google Cloud Partner Program metrics.

Team Development

Mentor engineers and data scientists toward achieving GCP certifications, especially in Data Engineering and Machine Learning.

Organize and lead internal GCP AI/ML enablement sessions.

Represent the company in Google partner ecosystem events, tech talks, and joint GTM engagements.

What We Offer

Best-in-class packages.

Paid holidays and flexible time-off policies.

Casual dress code and a flexible working environment.

Opportunities for professional development in an engaging, fast-paced environment.

Medical insurance covering self and family up to 4 lakhs per person.

Diverse and multicultural work environment.

Be part of an innovation-driven culture with ample support and resources to succeed.